A. Inoue, S. Tano, T. Iwatani, W. Okamoto, R. Fujioka
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An acquisition method of implicit knowledge using fuzzy analogy
A method to acquire implicit knowledge among several given cases using fuzzy analogy, called fuzzy analogical learning (FAL), is briefly described. This method is proposed as a learning feature in a natural language communication system, a fuzzy lingual system, which aims to emulate the observational features of human learning and problem solvings based on experiences. Cognitive models of learning and problem solvings for the further study of FAL and a prototype implementation for demonstrating the validity of the method are described as well as a formal description of the computational model.<>